Amanda Vitoria De Paula Pereira
Amanda Vitoria De Paula Pereira
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Engineer в Brasil
"At 6, I disassembled toys to understand their mechanics, by 12, I was captivated by the intersection of art and mathematics. I saw the micro and macro connections like a musical arrangement, to me, everything is a grand opera; a harmony that makes my eyes shine."

My journey is a fusion of disciplines. Software engineering, product design, 3D art, and marketing, alongside an extensive range of courses covering psychology, trading psychology, and technical analysis, for me, the answer has always been found in knowledge.
I am a Software Engineer specialized in financial market automation. Unlike typical scripters, I approach MQL5 and Python development with strict engineering principles, robust architecture, execution speed, and fail-safe security.
I combine technical precision with the agility and creative problem-solving often associated with Brazilian developers. I find solutions where others find dead ends. A trading bot isn't just code. It is a financial weapon. It must be sharp, fast, and reliable. My code is clean, modular, and built to handle the chaos of live markets without breaking. Ready to turn your strategy into a fully automated asset? Let's build something profitable.
Amanda Vitoria De Paula Pereira
Опубликовал код Institutional Kalman Filter (Dynamic True Price Estimator)
An aerospace-grade state estimation algorithm that dynamically filters out market noise and manipulation wicks to reveal the true underlying execution price with zero static phase-lag.
2 70
Amanda Vitoria De Paula Pereira
Опубликовал статью Building an Object-Oriented FVG Scanner in MQL5
Building an Object-Oriented FVG Scanner in MQL5

Create an object-oriented fair value gap (FVG) scanner in MQL5 and display liquidity gaps directly on a MetaTrader 5 chart, this article formalizes the imbalance geometry based on three candlesticks, synchronizes OHLC arrays with CopyRates, manages rectangles without leaks, and monitors mitigation in real time. It also shows how to integrate this class into an Expert Advisor with a strict new bar filter for stable and efficient execution.

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Amanda Vitoria De Paula Pereira
Опубликовал код Institutional Shannon Entropy (Predictability Index)
A quantitative Information Theory engine that calculates the Shannon Entropy of price distribution to mathematically measure market randomness and algorithmic predictability.
2 180
Amanda Vitoria De Paula Pereira
Опубликовал код Institutional Fourier Transform (DFT) Dominant Cycle Language: MQL5
A digital signal processing (DSP) engine that applies the Discrete Fourier Transform (DFT) to market data, isolating the dominant cyclical frequency to project turning points and eliminate phase-lag.
2 279
Amanda Vitoria De Paula Pereira
Опубликовал код Institutional GARCH(1,1) Volatility Forecaster
A predictive quantitative engine that replaces lagging retail ATR, it utilizes the Nobel-prize-winning GARCH(1,1) econometric model to mathematically forecast future market volatility and variance.
4 214
Amanda Vitoria De Paula Pereira
Опубликовал код Institutional StatArb and Cointegration Spread Z-Score
Количественный мультиактивный осциллятор, предназначенный для статистического арбитража (парной торговли), рассчитывает логарифмический спред между двумя коррелирующими активами и измеряет его Z-Score для выявления нейтральных с точки зрения риска возможностей среднего перелома.
Amanda Vitoria De Paula Pereira
Опубликовал статью From Simple Close Buttons to a Rule-Based Risk Dashboard in MQL5
From Simple Close Buttons to a Rule-Based Risk Dashboard in MQL5

Build a rule-based on-chart risk management panel in MetaTrader 5 using the MQL5 Standard Library. The guide covers a CAppDialog-based GUI, manual event routing, and an automated update loop. You will bind UI events to CTrade to execute conditional closures, show net floating P/L, and read automated targets directly from the chart.

4
Amanda Vitoria De Paula Pereira
Опубликовал код Institutional K-Means Machine Learning Liquidity Clusters
Индикатор машинного обучения без контроля, который применяет алгоритм кластеризации K-Means к историческим ценовым действиям, математически определяя и отображая истинные институциональные пулы ликвидности без предвзятости человека.
Amanda Vitoria De Paula Pereira
Опубликовал код Institutional Fractal Dimension Index (Regime Detector)
An advanced quantitative filter based on Chaos Theory and fractal geometry, it calculates the intrinsic dimensionality of the price curve to instantly classify market regimes into trending or mean-reverting states.
4 200
Amanda Vitoria De Paula Pereira
Опубликовал код Institutional Kelly-VAPS Risk Engine (Library)
Объектно-ориентированная библиотека MQL5 (.mqh), которая заменяет статичные розничные модели риска на институциональные модели Volatility-Adjusted Position Sizing (VAPS) и Kelly Criterion.
Amanda Vitoria De Paula Pereira
Опубликовал код Institutional Nadaraya-Watson Kernel Regression
Количественная оболочка машинного обучения, использующая математику регрессии ядра Надарая-Уотсона для динамического прогнозирования статистически значимых зон средней реверсии, не опираясь на традиционное стандартное отклонение.
Amanda Vitoria De Paula Pereira
Оставил отзыв на заказчика за работу I want to build Gold Trading EA – Paired Multi-Level Breakout with Auto-Refresh & Trailing Stop
Amanda Vitoria De Paula Pereira
Опубликовал код Institutional Gaussian Signal Filter (Zero-Lag ALMA)
Количественный гауссовый фильтр, разработанный для замены запаздывающих скользящих средних для розничной торговли, с применением передовой цифровой обработки сигнала для устранения рыночного шума без ущерба для быстроты реакции.
yarpol1445
yarpol1445 Суббота
Je voulais le tester
Amanda Vitoria De Paula Pereira
Опубликовал код Institutional Cumulative Volume Delta (CVD)
An advanced order flow engine that approximates tick-by-tick aggressor data to calculate the true Cumulative Volume Delta, it exposes institutional absorption and divergence hidden within standard price candles.
2 210
Amanda Vitoria De Paula Pereira
Опубликовал код Institutional Z-Score Statistical Reversion
Профессиональный количественный осциллятор, заменяющий традиционные розничные индикаторы импульса, такие как RSI, рассчитывает статистическое стандартное отклонение ценового действия для выявления математически исчерпанных разворотов.
Amanda Vitoria De Paula Pereira
Опубликовал код Institutional Unmitigated Order Block Matrix
A dynamic Smart Money utility that identifies institutional Order Blocks backed by volume anomalies and automatically tracks their mitigation state to keep your charts clean and focused on fresh liquidity.
2 279
Amanda Vitoria De Paula Pereira
Опубликовал код Institutional Toxic Flow and Tick Speedometer
A high-frequency trading utility designed to measure real-time tick velocity and detect toxic order flow spikes before they reflect entirely on standard price candles.
3 203
Amanda Vitoria De Paula Pereira
Опубликовал код ICT Silver Bullet and Macro Imbalance Filter
An institutional time and price filter that highlights strict macroeconomic trading windows and automatically projects Fair Value Gaps exclusively when institutional volume is present.
3 235
Amanda Vitoria De Paula Pereira
Amanda Vitoria De Paula Pereira
One of the biggest misconceptions in retail algo-trading is ignoring the network latency between the MT5 terminal and the broker's trade server, a strategy with a 90% win rate in the Strategy Tester will easily bleed money in the live market if the developer doesn't implement an asynchronous execution loop and dynamic slippage control

In the snippet below from my proprietary C++ trade engine, you can see the foundation of a fail-safe execution layer that overrides standard synchronous methods, always architect for chaos, not for perfect historical ticks.
Amanda Vitoria De Paula Pereira
Опубликовал код Asynchronous Institutional Trade Engine (Library)
A professional object-oriented MQL5 library designed for quantitative developers. It provides asynchronous order execution and dynamic slippage control to prevent terminal freezing during high-frequency algorithmic trading.
2 69
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